International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 90 - Number 17 |
Year of Publication: 2014 |
Authors: Rajendra Sharma, Snehal Kokil, Priti Khaire |
10.5120/15816-4704 |
Rajendra Sharma, Snehal Kokil, Priti Khaire . Neuro-Fuzzy for Sensor Fault Detection and Isolation. International Journal of Computer Applications. 90, 17 ( March 2014), 42-46. DOI=10.5120/15816-4704
This paper presents the sensor fault configuration through Neuro-Fuzzy. As we know that sensor faults have been observed in may domain. Various sensors faults are present such as bias, scaling, drift so to remove this kind of fault which is present we make the sensor to reconfigure to normal condition and this reconfiguration is done through Neuro-Fuzzy which uses the expert knowledge stored in them while training. This technique is implemented through ANFIS tool. Sugeno-Type fuzzy inference system is used, which is adaptive in nature and also Gaussian membership function is used. This technique uses the hybrid optimization which consists of combination of backpropagation and least square method algorithm. Simulation result is shown.